Table of contents
- Computational Mathematics
- Professor(s)
- Topics previously covered (numerical mathematics)
- Assessment
- Module specification
- Past exams
- Syllabus
- Resources
NotesComputational Mathematics
This module helps you hone your skills in thinking abstractly. It also introduces you to many of the standard continuous models used to help understand and design computational systems. Through this module, you will develop the fundamental computational mathematical tools that will support you throughout the BSc programme. Particular attention is paid to notions of experimentation, reasoning, and generalisation. By taking this module, you will learn a wide range of the computational mathematical concepts and techniques that underpin Computer Science. In particular, you will study number systems, special functions, graphing and linear algebra.
Professor(s)
- Dr. Sarah Santos
Topics previously covered (numerical mathematics)
- Number bases and modular arithmetic
- Sequences and Series
- Graph Sketching and Kinematics
- Angles, Triangles and Trigonometry
- Trigonometric functions
- Exponential and logarithmic functions
- Calculus: Limits and differentiation
- Vectors and Matrices
- Linear Transformations
- Introduction to Combinatorics and Probability
Assessment
One two hour unseen written examination and coursework (Type I)
Module specification
Past exams
Syllabus
Resources
Complementary learning
- Saylor Academy - “Explore the real-world applications of mathematics through algebra, calculus, statistics, and geometry. You can earn a free certificate of completion for any of these online Mathematics courses, or use many of them to earn credit in leading college programs.”